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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. Gemini Embedding 2GoogleRemove
  2. GPT-6 Luna ProOpenAIRemove
  3. Gemini 3.5 TranscribeGoogleRemove
gemini-embedding-2-preview vs gpt-6-luna-pro vs gemini-3.5-transcribe
AttributeGemini Embedding 2gemini-embedding-2-previewGPT-6 Luna Progpt-6-luna-proGemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$0.60 / 1M$0.10 / 1M— Not priced per input token
Output$2.40 / 1M$0.50 / 1M— Not priced per output token
Cache Write (5m)$0.60 / 1M$0.10 / 1MNot applicable
Cache Write (1h)$0.60 / 1M$0.10 / 1MNot applicable
Cache Read$0.60 / 1M$0.10 / 1MNot applicable
Web Search—$0 / 1M$0 / 1M
Context
Max context8.2K1.1M98.3K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeNoYesNo
StreamingNoYesNo
Catalogue
ProviderGoogleOpenAIGoogle
Categoryembeddingchatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-25
Description
SummaryGemini Embedding 2 is Google's advanced text embedding model designed for high-accuracy semantic representation across large-scale retrieval and understanding tasks. It converts text into dense vector embeddings optimized for semantic search, retrieval-augmented generation (RAG), clustering, classification, and recommendation systems. Built for production use, it offers strong multilingual support, improved semantic similarity accuracy, and efficient embedding generation, making it well suited for large knowledge indexing pipelines and enterprise-scale retrieval applications.GPT-6 Luna Pro uses the same underlying model as GPT-6 Luna, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. It combines Luna's speed and cost efficiency with deeper reasoning and more reliable multi-step execution, making it well suited for advanced coding, computer use, and agentic workflows where higher solution quality is needed without moving to a larger GPT-6 tier.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.